Is there any way to profile the mathkernel memory usage (down to individual variables) other than paying $$$ for their Eclipse plugin (mathematica workbench, iirc)?
Michael Pilat's answer is a good one, and MemoryInUse
and MaxMemoryUsed
are probably the best tools you have. ByteCount
is rarely all that helpful because what it measures can be a huge overestimate because it ignores shared subexpressions, and it often ignores memory that isn't directly accessible through Mathematica functions, which is often a major component of memory usage.
One thing you can do in some circumstances is use the Share function, which forces subexpressions to be shared when possible. In some circumstances, this can save you tens or even hundreds of magabytes. You can tell how well it's working by using MemoryInUse
before and after you use Share
.
Also, some innocuous-seeming things can cause Mathematica to use a whole lot more memory than you expect. Contiguous arrays of machine reals (and only machine reals) can be allocated as so-called "packed" arrays, much the way they would be allocated by C or Fortran. However, if you have a mix of machine reals and other structures (including symbols) in an array, everything has to be "boxed", and the array becomes an array of pointers, which can add a lot of overhead.